Practical Trainee - Hearing Device Data & Machine Learning

Staefa, Switzerland

Practical Trainee - Hearing Device Data & Machine Learning

Purpose of the job:

As a Practical Trainee, you will develop an auditory attention model using EEG data that is already being collected. This model will be a key component for a non-clinical study that is currently in preparation. The study aims to demonstrate the performance of a non-invasive listening intention model developed within the Darling project. This non-invasive listening intention technology is planned for integration into products following the Axl generation.

Tasks:

• Performing a sanity check on the EEG data and their associated labels.
• Conducting research to identify the optimal set of features for model training.
• Training and validating an Auditory Attention Decoding (AAD) model.
• Validating the LI labels through the application of the trained AAD model.
• Producing comprehensive documentation of the methodology, process, and results.

Your profile:

• A strong command of machine learning techniques, with a preference for experience in deep learning.
• Experience with EEG data and neural signal processing.
• Strong mathematical and programming skills to handle large datasets.
• Well-developed analytical and critical thinking abilities.
• A demonstrated aptitude for effective teamwork and collaboration.
• Excellent organizational skills, particularly in producing clear, maintainable code and thorough documentation.
• Ideally, background in hearing devices or auditory systems.

Our offer:

We can offer you a new challenge, with interesting tasks and much more – including an open corporate culture, flat hierarchies, support for further training and development, opportunities to take on responsibility, an excellent range of foods, sports and cultural facilities, attractive employment conditions, and flexible working time models in various roles.